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Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups
Current diagnostic tests applied to inflammatory arthritis lack the necessary specificity to appropriately categorise patients. There is a need for novel approaches to classify patients with these conditions. Herein we explored whether urinary proteomic biomarkers specific for different forms of art...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320079/ https://www.ncbi.nlm.nih.gov/pubmed/28091549 http://dx.doi.org/10.1038/srep40473 |
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author | Siebert, Stefan Porter, Duncan Paterson, Caron Hampson, Rosie Gaya, Daniel Latosinska, Agnieszka Mischak, Harald Schanstra, Joost Mullen, William McInnes, Iain |
author_facet | Siebert, Stefan Porter, Duncan Paterson, Caron Hampson, Rosie Gaya, Daniel Latosinska, Agnieszka Mischak, Harald Schanstra, Joost Mullen, William McInnes, Iain |
author_sort | Siebert, Stefan |
collection | PubMed |
description | Current diagnostic tests applied to inflammatory arthritis lack the necessary specificity to appropriately categorise patients. There is a need for novel approaches to classify patients with these conditions. Herein we explored whether urinary proteomic biomarkers specific for different forms of arthritis (rheumatoid arthritis (RA), psoriatic arthritis (PsA), osteoarthritis (OA)) or chronic inflammatory conditions (inflammatory bowel disease (IBD)) can be identified. Fifty subjects per group with RA, PsA, OA or IBD and 50 healthy controls were included in the study. Two-thirds of these populations were randomly selected to serve as a training set, while the remaining one-third was reserved for validation. Sequential comparison of one group to the other four enabled identification of multiple urinary peptides significantly associated with discrete pathological conditions. Classifiers for the five groups were developed and subsequently tested blind in the validation test set. Upon unblinding, the classifiers demonstrated excellent performance, with an area under the curve between 0.90 and 0.97 per group. Identification of the peptide markers pointed to dysregulation of collagen synthesis and inflammation, but also novel inflammatory markers. We conclude that urinary peptide signatures can reliably differentiate between chronic arthropathies and inflammatory conditions with discrete pathogenesis. |
format | Online Article Text |
id | pubmed-5320079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53200792017-02-24 Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups Siebert, Stefan Porter, Duncan Paterson, Caron Hampson, Rosie Gaya, Daniel Latosinska, Agnieszka Mischak, Harald Schanstra, Joost Mullen, William McInnes, Iain Sci Rep Article Current diagnostic tests applied to inflammatory arthritis lack the necessary specificity to appropriately categorise patients. There is a need for novel approaches to classify patients with these conditions. Herein we explored whether urinary proteomic biomarkers specific for different forms of arthritis (rheumatoid arthritis (RA), psoriatic arthritis (PsA), osteoarthritis (OA)) or chronic inflammatory conditions (inflammatory bowel disease (IBD)) can be identified. Fifty subjects per group with RA, PsA, OA or IBD and 50 healthy controls were included in the study. Two-thirds of these populations were randomly selected to serve as a training set, while the remaining one-third was reserved for validation. Sequential comparison of one group to the other four enabled identification of multiple urinary peptides significantly associated with discrete pathological conditions. Classifiers for the five groups were developed and subsequently tested blind in the validation test set. Upon unblinding, the classifiers demonstrated excellent performance, with an area under the curve between 0.90 and 0.97 per group. Identification of the peptide markers pointed to dysregulation of collagen synthesis and inflammation, but also novel inflammatory markers. We conclude that urinary peptide signatures can reliably differentiate between chronic arthropathies and inflammatory conditions with discrete pathogenesis. Nature Publishing Group 2017-01-16 /pmc/articles/PMC5320079/ /pubmed/28091549 http://dx.doi.org/10.1038/srep40473 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Siebert, Stefan Porter, Duncan Paterson, Caron Hampson, Rosie Gaya, Daniel Latosinska, Agnieszka Mischak, Harald Schanstra, Joost Mullen, William McInnes, Iain Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title | Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title_full | Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title_fullStr | Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title_full_unstemmed | Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title_short | Urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
title_sort | urinary proteomics can define distinct diagnostic inflammatory arthritis subgroups |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5320079/ https://www.ncbi.nlm.nih.gov/pubmed/28091549 http://dx.doi.org/10.1038/srep40473 |
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